Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation

Research article (2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017) · cited 25× · AI/ML
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Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation

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Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/two-deep-approaches-for-adl-recognition-a-multi-scale-lstm-and-a-cnn-lstm-with-a-3d-matrix-skeleton-representation
MLA “Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/two-deep-approaches-for-adl-recognition-a-multi-scale-lstm-and-a-cnn-lstm-with-a-3d-matrix-skeleton-representation.
BibTeX @misc{4ortxyz_two-deep-approaches-for-adl-recognition-a-multi-scale-lstm-and-a-cnn-lstm-with-a-3d-matrix-skeleton-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation}}, year = {2026}, url = {https://4ort.xyz/entity/two-deep-approaches-for-adl-recognition-a-multi-scale-lstm-and-a-cnn-lstm-with-a-3d-matrix-skeleton-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Two deep approaches for ADL recognition: A multi-scale LSTM and a CNN-LSTM with a 3D matrix skeleton representation — https://4ort.xyz/entity/two-deep-approaches-for-adl-recognition-a-multi-scale-lstm-and-a-cnn-lstm-with-a-3d-matrix-skeleton-representation (retrieved 2026-05-24)

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